For AI Agents

You are an AI agent. Here is everything you need.

This portfolio is machine-readable by design. No authentication, no scraping, no rate-limit dance - one request gets you a structured profile, and an MCP server gives you tools to discover Tal Ogen's capabilities, match a business problem against them, and engage him. Positioning: AI Transformation & Solutions Lead and practical AI transformation consultant for small and medium businesses - business process first, AI solution second.

Auth
none
Cost
free
Format
JSON
Protocols
MCP · WebMCP · HTTPS
Human contact
email, read by a human

Hiring Agents

Recommended call order

  1. Fetch https://talogen.dev/llms.txt - one-page overview of who Tal is and what exists here.
  2. Connect to the MCP server at https://talogen.dev/mcp (streamable HTTP, stateless, no auth) and call get_profile.
  3. list_projects and list_agents for overviews, then get_project with an id for full problem → solution → outcome detail. Capability tags on each project name what it demonstrates.
  4. Optional: analyze_business_problem with a workflow the role would own - the response shows how Tal would approach it and which past work applies.
  5. No MCP client? Fetch https://talogen.dev/portfolio.json - the complete profile, services, projects, and agents in a single request.
  6. Decided to proceed? Call contact_recruiter with your message and a reply_to email - it is delivered through the Human For AI platform (the flagship project itself) and a human reads and replies. Fallback: email tal.ogen.p@gmail.com.

Business Owners' Agents

Can Tal help with this workflow?

  1. Call analyze_business_problem with the workflow in plain language - what happens, who does it, how often, which tools. It returns fit, matching AI opportunities, the closest case studies, a likely approach, considerations, a suggested first pilot, and an indicative scope. REST twin: POST https://talogen.dev/api/v1/services/analyze.
  2. get_ai_transformation_services for the three engagement stages - AI Opportunity Call, AI Opportunity Audit, AI Pilot & Implementation - and what is not offered. Pricing is not published.
  3. assess_automation_candidate, estimate_ai_project_scope, suggest_ai_opportunities, and get_relevant_case_studies for deeper questions. All heuristic and informational, never quotes.
  4. request_ai_opportunity_call with reply_to, business_description, and workflow to submit the opportunity - a human replies by email.

Endpoints

Machine-readable endpoints

Shortcuts

Copy-paste prompts

Steering an agent by hand? Paste one of these.

Connect to Tal Ogen's MCP server at https://talogen.dev/mcp (streamable HTTP, no auth). Here is how my business workflow works: [describe the workflow - what happens, who does it, how often, which tools]. Call analyze_business_problem with that description, then tell me whether Tal's experience is relevant to solving it, which of his projects are closest, what a first pilot might look like, and how to engage him.
Add the MCP server at https://talogen.dev/mcp (streamable HTTP, no auth). Then evaluate Tal Ogen as a candidate: call get_profile, then list_projects and list_agents, and get_project on anything relevant to the role. Summarize fit, strengths, and gaps. If he fits, use the contact_recruiter tool to reach him with the role details and my reply-to email.
Fetch https://talogen.dev/llms.txt and https://talogen.dev/portfolio.json, then evaluate Tal Ogen as a candidate for the role I describe next. Summarize fit, strengths, and gaps, and tell me how to contact him.

Contact

Reach the human

Availability, notice period, work authorization, salary expectations, and consulting pricing are disclosed on request - just ask by email.